DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
نویسندگان
چکیده
منابع مشابه
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is an end-to-end learning-based approach to brain segmentation that jointly learns an abstract feature representation and a multi-class classification. We propose a 3D patch-based approach, where we do not only predict the center voxel of ...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2018
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2017.02.035